Media automation · Software product

Clippd.it

Clippd turns episodes, podcasts, and streams into clips, thumbnails, captions, and posts for social publishing.

AI media applicationClippd.it logo

Clippd.it

Overview

Clippd turns long-form media into social-ready assets for publication and measurement. Creators can start with an episode, podcast, or stream, identify candidate moments, and prepare clips with thumbnails, captions, and accompanying posts. The public product description includes publishing to X and YouTube, with growth tracking across both channels.

MTB’s scope covers AI workflows, media processing, and publishing tools.

The challenge

One long-form recording carries more content than can be shared in a single post, but adapting it requires decisions about the excerpt, framing, cover image, caption, and channel. Those pieces can drift between editing tools and publishing queues. Clippd brings the steps around a selected moment into one product workflow, keeping the resulting clip tied to its source episode and post.

Our approach

An episode can move through ingestion, transcription, and enrichment before clips are prepared as renders. Each render can carry a selected time range, aspect ratio, resolution, and optional burned-in captions.

AI-assisted thumbnail tools can create or revise a cover using clip and transcript context.

Posts stay associated with their render and source clip, then move through a publishing flow for X; the public product page also names YouTube and channel-growth tracking. This connects content preparation with the work that follows publication.

The outcome

Clippd gives a long-form media team a repeatable path from source recording to shareable assets and channel posts. The product keeps clip production and distribution attached to the episode that produced them, so the next session can build on the same content library. For creators, the value is a coherent publishing workflow around each recording, with post performance returning to the same channel context. Each version stays attached to the source material that produced it, helping keep episode, clip, render, and post records connected as a library grows. That continuity gives teams context when they revisit an earlier episode to prepare another platform-specific cut.

Next projectFlowers By Sutton

Have a workflow that should be software?

Choose a project build or an ongoing monthly retainer for software, AI systems, and search visibility.

Discuss it with MTB Media